研究目的
To construct and optimize the operation models of concentrating solar power (CSP) stations, considering energy transfer processes and thermal energy conversion efficiency, to enhance their schedulability and economic benefits in renewable energy integration.
研究成果
The CSP power station with a TES system effectively handles solar energy uncertainty, extends production cycles, improves heat storage tank utilization, and enhances economic efficiency. Increasing solar radiation intensity further boosts these benefits, allowing for stable power output during peak price periods and better overall performance compared to systems without TES.
研究不足
The study is limited to trough-type CSP systems and does not consider other concentrating methods like tower or dish systems. It assumes ideal conditions without accounting for thermal losses in the solar field or potential inefficiencies in real-world operation. The model relies on specific data from one plant, which may not be generalizable to all CSP installations. Optimization is based on economic goals, potentially overlooking environmental or technical constraints.
1：Experimental Design and Method Selection:
The study involves modeling the operational aspects of CSP power stations, including solar field (SF), thermal energy storage (TES), and power block (PB) modules, with a focus on energy transfer and conversion efficiency. Mathematical models are developed based on physical principles and optimization techniques to maximize economic benefits.
2：Sample Selection and Data Sources:
Data is sourced from IBERDROLA's CSP plant in Spain, using parameters for the LS-2 trough solar concentrating collector. A typical summer day is considered for simulation.
3：List of Experimental Equipment and Materials:
The CSP system includes components such as parabolic mirrors, heat collecting tubes, thermal storage tanks (high and low temperature), heat-transfer fluid (HTF), and an Organic Rankine cycle unit with steam generator, expander, generator, condenser, and fluid pump.
4：Experimental Procedures and Operational Workflow:
Three operating modes are designed: Mode 1 (without TES), Mode 2 (with TES), and Mode 3 (with TES and increased solar radiation intensity). Simulations are performed using CPLEX software to solve the optimization model, with inputs including solar radiation data, electricity prices (peak, valley, usual times), and initial TES conditions.
5：Data Analysis Methods:
Results are analyzed through simulation outputs, comparing electric output power, TES heat storage capacity changes, and economic revenues across different modes. Statistical analysis is not explicitly mentioned, but comparative evaluation is conducted.
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